LLM Latency Throughput and Scalability

Latency, throughput, and scalability are critical factors in determining the performance of large language models (LLMs) in real-world applications. In this course, you will learn how to effectively manage throughput and scalability in large language models (LLMs), key concepts that ensure your models perform efficiently even under heavy workloads. Explore how to evaluate the throughput of different models to see how they cope with high-traffic situations, such as generating large amounts of content or processing vast datasets. Additionally, you’ll learn about scalability, which focuses on ensuring your LLM can expand and adapt as workloads grow. Discover how to identify and address scalability challenges when deploying large models in production environments, so your LLM can handle increasing demands without slowing down or losing accuracy. By the end of this course, you will have the skills to optimize both throughput and scalability, enabling your models to excel in real-world applications.